Senior Machine Learning Engineer

Own the full machine learning lifecycle on real medical-device and robotics/automation applications, from sensor data to models running on constrained hardware. This onsite role in Boston, MA 02116 is hands-on (100% hands on) and built around close collaboration across embedded/firmware/software teams, with a strong focus on MLOps, validation, and documentation that supports regulatory-ready work.

What you’ll be doing

• Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data so it is ready for model development and evaluation.
• Build and refine ML models for real-time device applications, targeting both performance improvements and reliable operation.
• Partner with firmware teams to embed and test AI features on hardware platforms.
• Set up and oversee tools for experiment tracking, automate evaluations, and manage deployments.
• Analyze model behavior, ensure reliability, and resolve issues to maintain high-quality outputs.

Requirements

• 5+ years of experience.
• Strong proficiency in Python.
• Hands-on experience with PyTorch or TensorFlow.
• Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or an equivalent stack.
• Experience building sensor data pipelines.
• Proficiency with MLOps.
• Solid software engineering fundamentals.
• Proficiency with C or C++.

Helpful experience

• Experience with physiological signal processing for medical or wearable applications.
• Background in robotics or autonomous systems.
• Experience in a startup or small team.
• A degree in a relevant field.

Tools and technologies

Python, PyTorch, TensorFlow, TFLite, ONNX, CoreML, TensorRT, MLOps, C, C++

Compensation and benefits

• Bonus or Commission eligible
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) (including match, if applicable)